GitHub / SciML / SciMLTutorialsOutput

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SciML%2FSciMLTutorialsOutput

Commit Stats

Commits: 83
Authors: 8
Mean commits per author: 10.38
Development Distribution Score: 0.687
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/SciML/SciMLTutorialsOutput

Topics: differential-equations, julia, neural-differential-equations, neural-ode, ode, physics-informed-learning, physics-informed-ml, physics-informed-neural-networks, scientific-machine-learning, sciml

Funding links: https://github.com/sponsors/SciML

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